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- Hong Pi, Carsten Peterson
- Neural Computation
- 1994

We present a general method, the &test, which establishes functional dependencies given a sequence of measurements. The approach is based on calculating conditional probabilities from vector component distances. Imposing the requirement of continuity of the underlying function, the obtained values of the conditional probabilities carry information on the… (More)

- Mattias Ohlsson, Hong Pi
- Neural Networks
- 1997

We devise a feed-forward Artiicial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by \The Great Energy Predictor Shootout-The First Building Data Analysis and Prediction Competition" 1]. Key ingredients in our approach are a method (test) for determining relevant inputs and the… (More)

A package written in C for identif~’ingvariable dependencies in tables of data is presented. Thekey ingredient is the 8-test, which establishes dependency structures by exploiting theproperties of continuous functions using conditional probabilities formed out of the data. The method estimates most relevantvariables, embedding dimensions and noise levels.… (More)

We devise a feed-forward Artiicial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by \The Great Energy Predictor Shootout-The First Building Data Analysis and Prediction Competition" 1]. Key ingredients in our approach are a method (test) for determining relevant inputs and the… (More)

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